EVALUATION OF CORRELATION BETWEEN NDVI VEGETATION INDEX AND NDMI HUMIDITY INDEX ACCORDING TO SENTINEL-2 SATELLITE
Abstract and keywords
Abstract:
The result of evaluation of correlation relationship between spectral indices of NDVI vegetation and NDMI humidity calculated on the basis of Earth remote sensing data obtained using Sentinel-2 satellite is shown. The research object is located in the Volgograd region and is an array of drip irrigation system with a total area of approximately 120 hectares, consisting of 11 sites. In 2024, a table carrot culture (Daucus carota) was grown on this territory. The nature of the distribution of random variables NDVI and NDMI does not correspond to the normal (non-Gaussian distribution) law is noted. The Shapiro-Wilkie W-test for all observed values of the NDVI vegetation index is in the range of 0.748... 0.871, for the NDMI humidity index – 0.748... 0.884. This indicates a non-Gaussian distribution with statistical significance (p = 0.01). The Munney-Whitney U-test values are 212... 360. This indicates statistically significant differences (p = 0.01) between the NDVI vegetation index and NDMI humidity index samples. NDVI and NDMI values correlate statistically significantly (Spearman rank coefficient rs = 0.41…0.95) with significance level p = 0.01. The paired Spearman correlation coefficients rs between NDVI and NDMI for one field are in the range of 0.85... 0.95 with a higher significance level p = 0.001.

Keywords:
humidity index, vegetation index, NDMI, NDVI, SAGA GIS, correlation, Spearman's ratio
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References

1. An inclusive approach to crop soil moisture estimation: Leveraging satellite thermal infrared bands and vegetation indices on Google Earth engine / Imtiaz, F., Farooque, A. A., Randhawa, G. S., Wang, X., Esau, T. J., Acharya, B., & Hashemi Garmdareh, S. E. // Agricultural Water Management, 2024, Vol. 306. DOI:https://doi.org/10.1016/j.agwat.2024.109172.

2. Evaluation and Correlation of Sentinel-2 NDVI and NDMI in Kyiv (2017-2021) / Strashok, O., Ziemiańska, M., & Strashok, V. // Journal of Ecological Engineering, 2022. Vol. 23(9), P. 212–218. DOI:https://doi.org/10.12911/22998993/151884.

3. Agroekologicheskaya ocenka zavisimosti vegetacionnoy aktivnosti posevov / N. G. Kurmasheva, F. F. Avsahov, R. Sh. Irgalina, R. G. Yagafarov // AgroEkoInfo. 2024. № 5(65). EDN: https://elibrary.ru/UGQIDW.

4. Dmitriev P. A., Kozlovskiy B. L., Dmitrieva A. A., Varduni T. V., Vliyanie komponovki pobegov sosny pri giperspektral'noy s'emke v laboratornyh usloviyah na statisticheskie harakteristiki vegetacionnyh indeksov // Zhivye i biokosnye sistemy. 2023. № 4. DOI:https://doi.org/10.18522/2308-9709-2023-46-3.

5. Detecting climate change effects on forest ecosystems in Southwestern Romania using Landsat TM NDVI data / Pravalie, R., Sîrodoev, I., & Peptenatu, D. // Journal of Geographical Sciences. 2014. Vol. 24(5), P. 815–832. DOI:https://doi.org/10.1007/s11442-014-1122-2.

6. Analiz trendov vremennyh ryadov vegetacionnogo indeksa NDVI / M. Yu. Kataev, A. A. Bekerov, P. V. Shalda // Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki. 2017. T. 20, № 1. S. 81-84. DOI:https://doi.org/10.21293/1818-0442-2017-20-1-81-84. EDN: https://elibrary.ru/ZATNAH.

7. K voprosu o retrospektivnom kartografirovanii pribrezhno-vodnoy rastitel'nosti meliorativnyh vodoemov / S. S. Smelova // Ekologiya i stroitel'stvo. 2025. № 2. S. 14-23. DOI:https://doi.org/10.35688/2413-8452-2025-02-002. EDN: https://elibrary.ru/OZOUSQ.

8. Spektral'naya otrazhatel'naya sposobnost' pochv Mil'skoy stepi Azerbaydzhana v zavisimosti ot ih himicheskih i fizicheskih svoystv / S. A. Kocharli, M. G. Mustafaev, E. M. Ahmedzade [i dr.] // Ekologiya i stroitel'stvo. 2025. № 1. S. 4-11. DOI:https://doi.org/10.35688/2413-8452-2025-01-001. EDN: https://elibrary.ru/VWMAYW.

9. Kocharli S.A., Mustafaev M.G., Velieva Z.M., Ahmedzade E.M. Vzaimosvyaz' mezhdu agrofizicheskimi svoystvami i spektrofotometricheskimi pokazatelyami pochv Kura-Arazskoy nizmennosti Azerbaydzhana // Ekologiya i stroitel'stvo. 2026. No 1. C. 4–10. DOI:https://doi.org/10.35688/2413-8452-2026-01-001.

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